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Metasurface-design artificial intelligence

Project description

DRUIDA

The master intelligence for metasurface design

N|Solid

Build Status

Druida is an artificial intelligence developed support the metasurfaces design process.

  • Data set generation based on stack-structured meta-atoms
  • Metasurface composition
  • Training and use of generative models to render metasurface designs.

Features

  • Import a HTML file and watch it magically convert to Markdown
  • Drag and drop images (requires your Dropbox account be linked)
  • Import and save files from GitHub, Dropbox, Google Drive and One Drive
  • Drag and drop markdown and HTML files into Dillinger
  • Export documents as Markdown, HTML and PDF

Markdown is a lightweight markup language based on the formatting conventions that people naturally use in email. As John Gruber writes on the Markdown site

The overriding design goal for Markdown's formatting syntax is to make it as readable as possible. The idea is that a Markdown-formatted document should be publishable as-is, as plain text, without looking like it's been marked up with tags or formatting instructions.

This text you see here is *actually- written in Markdown! To get a feel for Markdown's syntax, type some text into the left window and watch the results in the right.

Tech

Dillinger uses a number of open source projects to work properly:

And of course Dillinger itself is open source with a public repository on GitHub.

Installation

Dillinger requires Node.js v10+ to run.

Install the dependencies and devDependencies and start the server.

cd dillinger
npm i
node app

For production environments...

npm install --production
NODE_ENV=production node app

Plugins

Dillinger is currently extended with the following plugins. Instructions on how to use them in your own application are linked below.

Plugin README
Dropbox plugins/dropbox/README.md
GitHub plugins/github/README.md
Google Drive plugins/googledrive/README.md
OneDrive plugins/onedrive/README.md
Medium plugins/medium/README.md
Google Analytics plugins/googleanalytics/README.md

Development

Want to contribute? Great!

Dillinger uses Gulp + Webpack for fast developing. Make a change in your file and instantaneously see your updates!

Open your favorite Terminal and run these commands.

First Tab:

node app

Second Tab:

gulp watch

(optional) Third:

karma test

Building for source

For production release:

gulp build --prod

Generating pre-built zip archives for distribution:

gulp build dist --prod

Docker

Dillinger is very easy to install and deploy in a Docker container.

By default, the Docker will expose port 8080, so change this within the Dockerfile if necessary. When ready, simply use the Dockerfile to build the image.

cd dillinger
docker build -t <youruser>/dillinger:${package.json.version} .

This will create the dillinger image and pull in the necessary dependencies. Be sure to swap out ${package.json.version} with the actual version of Dillinger.

Once done, run the Docker image and map the port to whatever you wish on your host. In this example, we simply map port 8000 of the host to port 8080 of the Docker (or whatever port was exposed in the Dockerfile):

docker run -d -p 8000:8080 --restart=always --cap-add=SYS_ADMIN --name=dillinger <youruser>/dillinger:${package.json.version}

Note: --capt-add=SYS-ADMIN is required for PDF rendering.

Verify the deployment by navigating to your server address in your preferred browser.

127.0.0.1:8000

License

MIT

Free Software, Hell Yeah!

Project details


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